A data analyst is following up on a recent, company-wide data audit of customer invoice data. Which of the following is the best option for the analyst to use?
Answer(s): B
This question falls under the Data Governance domain of CompTIA Data+ DA0-002, which includes understanding compliance frameworks for data audits, especially for customer data. The scenario involves a data audit of customer invoice data, which likely contains personal information, making privacy regulations relevant.PCI DSS (Option A): PCI DSS (Payment Card Industry Data Security Standard) applies specifically to payment card data, not general customer invoice data unless credit card details are involved, which isn't specified.GDPR (Option B): GDPR (General Data Protection Regulation) is a comprehensive privacy regulation for handling personal data of EU citizens, including customer invoice data, which may contain PII like names and addresses. It's the most relevant for a company-wide data audit.ISO (Option C): ISO standards (e.g., ISO 27001) relate to information security management but are not specific to customer data privacy audits.PII (Option D): PII (Personally Identifiable Information) is a concept, not a framework or tool for conducting an audit.The DA0-002 Data Governance domain emphasizes "identifying PII and data privacy concepts," and GDPR is the most appropriate framework for auditing customer data to ensure compliance with privacy laws.
CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
A database administrator needs to implement security triggers for an organization's user information database. Which of the following data classifications is the administrator most likely using? (Select two).
Answer(s): C,E
This question pertains to the Data Governance domain, focusing on data classification for security purposes. User information databases typically contain personal data, and security triggers (e.g., alerts for unauthorized access) require classifying data to determine protection levels.Public (Option A): Public data is openly accessible (e.g., company brochures), not suitable for user information requiring security triggers.Open (Option B): Open isn't a standard data classification; it's similar to public and not applicable here.Sensitive (Option C): Sensitive data includes information that, if exposed, could cause harm (e.g., user emails, roles), which fits user information and warrants security triggers.Non-Sensitive (Option D): Non-sensitive data doesn't require protection, so it wouldn't need security triggers.Private (Option E): Private data includes PII (e.g., names, addresses) in user information databases, requiring security measures like triggers to protect against breaches.Encrypted (Option F): Encrypted refers to a data state, not a classification; data can be classified as private or sensitive and then encrypted.The DA0-002 Data Governance domain includes "data quality control concepts," such as classifying data to apply appropriate security measures. Sensitive and private classifications are most relevant for user information.
A data analyst is analyzing the following dataset:Transaction Date Quantity Item Item Price12/12/12 11 USB Cords 9.9911/11/11 3 Charging Block 8.8910/10/10 5 Headphones 50.15Which of the following methods should the analyst use to determine the total cost for each transaction?
Answer(s): D
This question falls under the Data Analysis domain, focusing on calculating new values from existing data. The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity × Item Price), which fits the task.The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as deriving new fields through calculations to analyze data.
CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
A senior manager needs a report that can be generated and accessed at any time. Which of the following delivery methods should a data analyst use?
Answer(s): C
This question is part of the Visualization and Reporting domain, focusing on report delivery methods. The requirement for a report that can be generated and accessed at any time suggests user-driven access.Ad hoc (Option A): Ad hoc reports are one-time, on-demand reports, not designed for anytime access by the user.Dynamic (Option B): Dynamic reports allow interactivity but don't necessarily imply user-generated access at any time.Self-service (Option C): Self-service reporting allows users (e.g., the senior manager) to generate and access reports on-demand at any time, fitting the requirement.Static (Option D): Static reports are fixed and don't allow on-demand generation by the user.The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and self-service is ideal for anytime access.
CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
A data analyst is creating a new dataset that involves bringing together the following datasets:Name ID Date of birthFrank 23525 3/19Martha 11290 6/13Ellen 12141 11/4ID Address City State23525 1234 Harding Chicago IL11040 935 Terrace Hills Chino CA11290 2 Speedway Miami FLWhich of the following would be the output if the data analyst does a FULL JOIN?A)Name ID Date of birth Address City StateFrank 23525 3/19 1234 Harding Chicago ILMartha 11290 6/13 935 Terrace Hills Chino CAEllen 12141 11/4 2 Speedway Miami FLB)Name ID Date of birth Address City StateFrank 23525 3/19 1234 Harding Chicago ILMartha 11290 6/13 935 Terrace Hills Chino CAEllen 12141 11/4 2 Speedway Miami FLC)Name ID Date of birth Address City StateFrank 23525 3/19 1234 Harding Chicago ILMartha 11290 6/13 2 Speedway Miami FLEllen 12141 11/4 935 Terrace Hills Chino CAD)Name ID Date of birth Address City StateFrank 23525 3/19 1234 Harding Chicago ILMartha 11290 6/13 2 Speedway Miami FLEllen 12141 11/4 11040 935 Terrace Hills Chino CA
This question falls under the Data Concepts and Environments domain, focusing on database operations like joins. A FULL JOIN combines all rows from both tables, including matches and non- matches, filling in NULLs where there's no corresponding data.The first table has IDs: 23525 (Frank), 11290 (Martha), 12141 (Ellen).The second table has IDs: 23525, 11040, 11290.A FULL JOIN includes all IDs: 23525, 11290, 12141, 11040.23525 matches (Frank with 1234 Harding, Chicago, IL).11290 matches (Martha with 2 Speedway, Miami, FL).12141 has no match in the second table, so Address, City, and State are NULL.11040 has no match in the first table, so Name and Date of birth are NULL.Option A: Incorrect; it includes a row for Ellen with "2 Speedway," but Ellen's ID (12141) doesn't match any address, and 11040 is missing.Option B: Identical to Option A, so incorrect for the same reasons.Option C: Incorrect; it mismatches addresses (e.g., Ellen with 935 Terrace Hills, which belongs to 11040).Option D: Correct; it includes all IDs, with NULLs for non-matching rows (Ellen has no address, and 11040 has no name).The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as performing joins in relational databases.
CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
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